Cloud for Good is seeking an experienced and visionary GTM Lead, AI & Data to define, build, and execute our go-to-market strategy for AI, Agentforce, Data Cloud, and data strategy growth across all industry verticals. This leader will be responsible for driving Cloud for Good’s AI market presence, shaping our AI value propositions, and enabling our Sales, Delivery, and Marketing organizations to grow pipeline and revenue across the each of our industries.
This role will be foundational in establishing Cloud for Good as a leading Salesforce AI consulting partner. The GTM AI Leader will report to the CRO and work closely with Go-to-market and Services leadership. As GTM Lead, AI & Data, you will serve as the strategic, customer-facing expert who partners with Sales to shape vision, influence executives, and accelerate pipeline in all areas of Salesforce AI and data innovation.
Successful candidates will be experts in Salesforce AI/Agentforce/Data Cloud/Data, have deep familiarity with the Salesforce ecosystem, and demonstrate strong experience bringing new AI solutions to market through packaged offerings, messaging, partnerships, and sales motions.
You will be the go-to pre-sales strategist for AI and Data Cloud opportunities—bringing thought leadership, shaping solution direction, differentiating our value, and helping customers understand how to leverage Salesforce’s AI ecosystem to transform their operating model.
This is a high-impact senior individual contributor role with significant autonomy, visibility, and influence. You will partner closely with Sales, Solution Engineering, Delivery Leadership, Alliances, and Marketing to drive pipeline, win deals, and position us as a leading Salesforce AI & Data Cloud partner.
Location: Virtual, home office in the USA or Canada.
Work Authorization: Citizens or Permanent Residents of the USA or Canada. Cannot provide Visa sponsorship.
Skills, Qualifications, and Education Requirements
AI & Salesforce Expertise:
- 5+ years of experience with Salesforce technology, including AI/Einstein, Data Cloud, GPT, predictive/ML solutions, or similar AI technologies
- Experience designing or selling AI-enabled consulting services or packaged offerings
- Strong understanding of emerging AI trends, use cases, and enterprise adoption patterns
GTM Strategy & Leadership:
- Proven ability to build GTM strategies, messaging, POVs, and value propositions for new technology offerings
- Experience working with Salesforce field teams, product teams, and partner ecosystem
- Ability to lead cross-functional initiatives and influence without direct authority
Sales & Pre-Sales Enablement:
- Experience creating playbooks, sales assets, demos, and frameworks to support selling AI solutions
- Strong ability to communicate technical concepts to executive and business stakeholders
- Strong track record of supporting deals, coaching sales teams, and increasing win rates
General Requirements:
- Excellent written and verbal communication skills, and executive presence.
- High level of accountability, organization, and proactive leadership
- Comfortable operating in a fast-paced, high-growth, entrepreneurial environment
- Strong analytical, strategic, and storytelling skills
- Bachelor’s degree strongly preferred
Main Responsibilities
- Build Cloud for Good’s AI & Data GTM Strategy
- Define and execute the overall GTM strategy for AI, Agentforce, Data Cloud, and Data Strategy Salesforce solutions across industries.
- Develop AI & Data Value Propositions & Messaging
- Build compelling messaging, POVs, use cases, and customer journeys that articulate the business value of AI for our target markets.
- Create Packaged AI & Data Offerings & Assets
- Design repeatable service offerings, discovery frameworks, assessment tools, demos, and playbooks that enable scalable selling and delivery.
- Sales Motions & Pipeline Generation
- Drive net-new pipeline for AI & Data across all verticals by identifying whitespace, shaping demand, and creating industry-specific solution plays.
- Build and execute GTM motions that position our AI and Data expertise as a growth engine for the company.
- Support vertical teams with market insights, trends, ICP guidance, and targeted plays to open doors and expand accounts.
- Sales Enablement & Field Readiness
- Equip Account Executives and Solution Engineers with training, FAQs, competitive positioning, demo scripts, and objection-handling materials.
- Partner with Salesforce
- Build and manage relationships with Salesforce’s AI, Data Cloud, and Industry teams; collaborate on co-selling motions, events, and strategic accounts.
- Support Key Deals & Executive Conversation
- Provide executive-level support for AI-related opportunities, including scoping, value articulation, solution shaping, and strategic positioning.
- Partner with Account Executives to shape deal strategy, define solution vision, and accelerate opportunities through the funnel.
- Lead executive briefings, strategy workshops, and value discussions with customers across industries.
- Lead executive briefings, strategy workshops, and value discussions with customers across industries.
- Market Intelligence & Thought Leadership
- Monitor AI trends, Salesforce roadmap, competitor offerings, and customer adoption patterns to inform strategy and empower our teams.
- Represent the company as an AI & Data thought leader at conferences, executive briefings, webinars, and partner events.
- Translate Salesforce innovations (AI, Agentforce, Data Cloud, Einstein Copilot, metadata automation, LLM orchestration, etc.) into actionable GTM plays and customer-ready narratives.
- Educate the sales organization on trends, use cases, competitive positioning, and where AI/Data Cloud can create outsized customer value.
- Cross-Functional Collaboration
- Partner with Marketing to refine value propositions, messaging, use cases, and campaign themes.
- Align tightly with Delivery’s Practice Lead for AI & Data Cloud to ensure a cohesive “sell → deliver” motion, including solution viability, scope definition, and handoff quality.
- Partner with Alliances to strengthen Salesforce field alignment and co-selling motions, especially with AI/Agentforce and Data Cloud teams.
- Training & Internal Readiness
- Build internal education programs to ensure Sales, Delivery, and Leadership teams understand AI offerings, use cases, and GTM motions.
- Measurement & Optimization
- Define KPIs for AI pipeline growth, win rates, and adoption; track progress and refine strategy to maximize impact.
- Culture & Leadership
- Champion Cloud for Good’s mission, values, and commitment to the social good sector while driving innovation and excellence in AI.
Working Successfully at CFG
Cloud for Good is a client-service organization, and as a member of our fully remote team, there are a few non-negotiables that enable collaboration, professionalism, and exceptional client outcomes. We succeed when our teams work in partnership with clients, communicate proactively, and uphold the standards that make Cloud for Good a trusted partner.
- Travel Requirements
- All roles at Cloud for Good include a travel component. Business travel—both domestic and international—may be required based on project and client needs. The amount of travel will vary by role but is generally expected to be up to 20% annually. Travel is considered an essential part of this position and supports effective client engagement, collaboration, and company representation.
- Work Environment
- Cloud for Good is a fully remote company. Team members are expected to maintain a professional, distraction-free workspace that is camera-ready for video meetings. Collaboration takes place across Zoom, Office 365, Salesforce, and Slack during standard business hours (9:00 a.m. – 5:00 p.m. in your local time zone).
- Client Time Zone Alignment
- As a team member, you may be required to adjust your work hours to align with your key client’s time zone to support effective communication, collaboration, and project delivery. Flexibility and coordination with your Project Lead (Services) will help ensure success in this client-facing role.
Disclaimers
Diversity and Equal Opportunity Commitment
- At Cloud for Good, we adhere to the principles of Equal Employment Opportunity (EEO) and extend these principles to all our employees and prospective candidates. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, ancestry, age, sex, disability, genetic information, marital status, pregnancy status, amnesty, veteran status, medical condition, or any other legally protected characteristics as defined by federal, state, and local laws. Our commitment to non-discrimination applies across every location in which our company operates, and it encompasses all aspects of employment.
- Cloud for Good strongly encourages individuals from diverse backgrounds and identities to submit their applications. Our unwavering commitment to fostering diversity not only enhances our workplace but also enhances the outcomes we deliver to our clients. See our full diversity statement here.
- We value inclusivity and want applicants who may require special assistance or accommodation during the interview process to know we’re here to assist you.
Use of AI in Interviewing
- At Cloud for Good, we believe in conducting interviews that are fair, equitable, and designed to evaluate candidates based on their qualifications and experience, with the organization. To ensure that all candidates are given an equal opportunity to demonstrate their abilities, we prohibit the use of AI or any other type of machine learning tools during the interview process.
- Candidates are expected to participate in the interview process remotely using video conferencing. Any attempt to use AI or similar technology to respond to interview questions, analyze or provide feedback on the interview process, or perform any other interview-related tasks is strictly prohibited and will be considered a violation of our policy and may result in disqualification from the interview process.
- We understand that some candidates may have disabilities or other circumstances that require accommodation during the interview process. In such cases, we will make reasonable accommodations to enable candidates to participate in the interview process to the best of their ability. However, we do not permit the use of AI or similar technology as a substitute for direct participation in the interview.